Home /Research /Grasp Control of Dexterous Hands Based on Bibliometric Analysis: A Survey
MANIPULATION

Grasp Control of Dexterous Hands Based on Bibliometric Analysis: A Survey

Zhe Xu, Sihan Huang, Liya Yao, Yan Yan

Year
2025
Citations
1
Access
Open access

Abstract

Abstract Recent years have witnessed unprecedented development in humanoid robotics, with dexterous hand grasping emerging as a focal research area across industrial and academic sectors. To track the state-of-the-art dexterous hand grasp, a review of dexterous hand grasp based on bibliometric analysis is executed. The related studies on dexterous hand grasp are collected from the Web of Science for analysis, where the publication details and cooperation situations from the perspectives of country, institute, etc. are discussed. The keywords cluster is adopted to find the hot research topic of dexterous hand grasp. The development trend of dexterous hand grasp is explored based on the top 25 keywords with the strongest citation bursts. The review findings indicate that precision control via multimodal fusion, autonomous task understanding and intelligent decision, and in-hand dexterous manipulation are top three hotspots in future.

Keywords

GRASPComputer scienceControl (management)Artificial intelligenceSoftware engineering

Related papers

Browse all MANIPULATION papers